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Automated Arthritis Detection Using Artificial Intelligence on Smartphone Photographs

NCT06715488 · Status: ACTIVE_NOT_RECRUITING · Type: OBSERVATIONAL · Enrollment: 3000

Last updated 2024-12-24

No results posted yet for this study

Summary

The investigators are testing the ability of convolutional neural networks (CNNs), that is artificial intelligence, on smartphone photographs in detecting inflammatory arthritis. This promises to be an efficient, accurate, and non-invasive diagnostic tool that will significantly improve early detection and management of inflammatory arthritis.

Conditions

  • Rheumatoid Arthritis &Amp; Other Inflammatory Polyarthropathies
  • Peripheral Spondyloarthritis
  • Inflammatory Arthritis

Interventions

DIAGNOSTIC_TEST

AI assisted smartphone diagnosis

Patients will examination and clinical photographs for convolutional networks to diagnose inflammatory arthritis

Sponsors & Collaborators

  • IISER Pune

    collaborator UNKNOWN

  • Med2Measure

    lead INDUSTRY

Principal Investigators

  • Sanat Phatak, MD, DM · Med2Measure

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2024-11-15
Primary Completion
2027-12-31
Completion
2027-12-31

Countries

  • India

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06715488 on ClinicalTrials.gov